Chapter 2: Data Management Architectures for Analytics
In Chapter 1, An Introduction to Data Engineering, we looked at the challenges introduced by ever-growing datasets, and how the cloud can help solve these analytical challenges. However, there are many different cloud services, open source frameworks, and architectures that can be used in analytical projects, depending on business requirements and objectives.
In this chapter, we will discuss how analytical technologies have evolved and introduce the key technologies and concepts that are foundational for building modern analytical architectures, irrespective of whether you build them on AWS or elsewhere.
If you have experience as a data engineer and have worked with enterprise data warehouses ...
Get Data Engineering with AWS now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
